Trading Anti- Fraud Manager (TAF Manager)
Zeal Group London, United KingdomTrading Anti- Fraud Manager (TAF Manager)
Zeal Group is an award-winning global FinTech powerhouse with 700+ professionals across London, Europe, Asia, MENA, and South America. Through our subsidiary Traze, we deliver advanced multi-asset trading solutions across Gold, Oil, FX, Indices, and Cryptocurrencies, built for today's fast-moving, high-volatility markets.
Summary:
The Trading Anti-Fraud Manager will lead the Trading Anti-Fraud (TAF) function, owning the framework for detecting, investigating, and preventing trading fraud and abusive trading across all regions and products. In addition to managing the day-to-day operations of the TAF team, this role will act as a strategic partner to senior leadership, advising on fraud-risk trends, mitigation strategies, and continuous improvements to trading products, promotions, and processes in line with best practice in the FX/CFD sector.
Responsibilities:
- Lead, coach, and develop the TAF team, ensuring high-quality handling of all fraud alerts, cases, and investigations.
- Own and enhance the trading anti-fraud framework, rules, and monitoring to detect abusive trading, protect A-book performance, and contain losses from fraud/abuse.
- Partner with Trading, Risk, Product, Marketing, and Compliance to assess fraud risk in new/existing products and promotions, embedding effective controls by design.
- Provide regular reporting and strategic recommendations to senior leadership on fraud patterns, KPIs/KRIs, control gaps, and improvement initiatives.
Requirements
Required Skills and Experience:
- 6+ years' experience in FX/CFD trading-fraud, dealing, trading-risk, or trading support, including 2+ years in a team-lead/manager role.
- Strong knowledge of FX/CFD products, trading conditions, client-flow dynamics, and common trading-fraud/abuse scenarios in retail brokerage.
- Advanced Excel/Google Sheets; hands-on experience with trading platforms, monitoring/alerting tools, and case-management workflows.
- Bachelor's degree in Finance, Mathematics, Statistics, Economics, or related field; SQL or Python for data analysis is a strong plus.
Must Have Skills:
- Proven leadership and people-management skills, with the ability to build, motivate, and develop a high-performing analytical team.
- Excellent analytical, problem-solving, and decision-making abilities, using data to design and optimise fraud-detection rules and processes.
- Strong stakeholder-management and communication skills, able to influence senior leaders and collaborate effectively across Trading, Risk, Compliance, Product, and Marketing.
- High integrity, ownership mindset, and a proactive, improvement-driven approach to managing complex fraud risks in a fast-paced FX/CFD environment